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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Latest Trends In Sports Injury Prevention: Integrating Technology, Biomechanics, And Data-Driven Athlete Management

Authors: Dr. Manoj Singh Rana;

Latest Trends In Sports Injury Prevention: Integrating Technology, Biomechanics, And Data-Driven Athlete Management

Abstract

The rapid evolution of competitive sports has significantly increased performance demands on athletes, resulting in a parallel rise in both acute and overuse injuries. Contemporary sports science has shifted its focus from reactive injury treatment to proactive injury prevention through technological and scientific integration. This paper examines emerging trends in sports injury prevention, including wearable technology, artificial intelligence (AI), biomechanical assessment, individualized training programs, virtual reality (VR)-based training, and advanced recovery systems. The study highlights the role of data analytics in predicting injury risks and optimizing athlete workload. Additionally, it discusses implementation challenges, including financial constraints, data privacy concerns, and limited accessibility in rural sports settings. The findings emphasize the need for a multidisciplinary, technology-driven, and holistic athlete management approach to ensure sustainable performance and long-term player safety.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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